context safety score
A score of 42/100 indicates multiple risk signals were detected. This entity shows patterns commonly associated with malicious intent.
malicious redirect
The page instructs users to bookmark and use 'www.MoviezWap.surf' — a different domain from the scanned domain 'moviezwap.zip'. This cross-domain redirect/rebrand nudge routes users to a separate unverified domain, potentially used for traffic laundering or to evade takedowns. (location: page.html:53, page-text.txt:5)
social engineering
Prominent call-to-action urging users to join a Telegram channel (https://telegram.me/moviezwaphdoff) for 'instant updates'. Piracy sites commonly use Telegram channels to distribute malware-laced files, phishing links, or to harvest user contact data outside of browser safety controls. (location: page.html:55, page-text.txt:7)
social engineering
Site distributes pirated copyrighted content (movies, web series) including explicit/adult 'UNRATED' titles. Users are socially engineered into downloading files from untrusted sources, exposing them to potential malware, adware, or credential-stealing payloads bundled with downloads. (location: page.html:69-107, page-text.txt:21-59)
malicious redirect
Facebook link uses a bit.ly shortened URL (http://bit.ly/2wC6EX1) which obscures the true destination. URL shorteners on piracy sites are frequently used to redirect through ad networks, malvertising chains, or phishing pages. (location: page.html:117, page-text.txt:69)
brand impersonation
The footer claims copyright as 'MoviezWap.Org' while the scanned domain is 'moviezwap.zip' and the site also promotes 'MoviezWap.surf'. The site operates across multiple domains under the same brand, a common tactic to impersonate an established piracy brand and maintain traffic across rotating domains used to evade enforcement. (location: page.html:127, page-text.txt:79)
curl https://api.brin.sh/domain/moviezwap.zipCommon questions teams ask before deciding whether to use this domain in agent workflows.
moviezwap.zip currently scores 42/100 with a suspicious verdict and low confidence. The goal is to protect agents from high-risk context before they act on it. Treat this as a decision signal: higher scores suggest lower observed risk, while lower scores mean you should add review or block this domain.
Use the score as a policy threshold: 80–100 is safe, 50–79 is caution, 20–49 is suspicious, and 0–19 is dangerous. Teams often auto-allow safe, require human review for caution/suspicious, and block dangerous.
brin evaluates four dimensions: identity (source trust), behavior (runtime patterns), content (malicious instructions), and graph (relationship risk). Analysis runs in tiers: static signals, deterministic pattern checks, then AI semantic analysis when needed.
Identity checks source trust, behavior checks unusual runtime patterns, content checks for malicious instructions, and graph checks risky relationships to other entities. Looking at sub-scores helps you understand why an entity passed or failed.
brin performs risk assessments on external context before it reaches an AI agent. It scores that context for threats like prompt injection, hijacking, credential harvesting, and supply chain attacks, so teams can decide whether to block, review, or proceed safely.
No. A safe verdict means no significant risk signals were detected in this scan. It is not a formal guarantee; assessments are automated and point-in-time, so combine scores with your own controls and periodic re-checks.
Re-check before high-impact actions such as installs, upgrades, connecting MCP servers, executing remote code, or granting secrets. Use the API in CI or runtime gates so decisions are based on the latest scan.
Learn more in threat detection docs, how scoring works, and the API overview.
Assessments are automated and may contain errors. Findings are risk indicators, not confirmed threats. This is a point-in-time assessment; security posture can change.
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